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If you don’t want to include the full markup in every task, you can also specify a html_template in your global or the project’s prodigy.json config file. The following video shows an end-to-end workflow for training a named entity recognition model to recognize food ingredients from scratch, taking advantage of semi-automatic annotation with ner.manual and ner.correct, as well as modern transfer learning techniques. It took around 2.5 hours to create 949 annotations, including 20% evaluation ... Prompts as an A/B test. When you're engineering prompts you're going to get noisy results. In order to determine which prompt is best, you'll need a quantifiable method to compare them. Prodigy offers tools and annotation interfaces for this task and even offers pre-made recipes that integrate with Large Language Models via …Introducing Prodigy, the AI assistant that offers you complete control over your chat experience. 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Prodigy represents dependency annotations in a simple JSON format with a "text", a "relations" property describing the head and child indices and label of each dependency relation, and a list of "tokens".So you could extract the suggestions from your model in this format, and then use the mark recipe with --view-id relations to …. Altitude now
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